We’ve got haystacks and needles. But are you looking for needles in the first place? Maybe there is something in the haystack we haven’t even noticed. And what about the haystack itself? Might it be a useful thing in optimizing your enterprise? Kogentix wants to reimagine the potential of enterprise information. We believe that data can be viewed from many angles, and each can render new insight and potential growth.

Integrated/ Consolidated Data Hub

Intelligence, artificial or otherwise, starts with data. The foundation of most Kogentix solutions is an integrated data hub, bringing together data of disparate types – structured and unstructured, current and retrospective, real-time and batch. To meet enterprise requirements, the data must be secure, persistent, and well governed. The Kogentix team has been deploying open source big data platforms since 2009, providing a solid foundation for the analytics and applications that create business value.

EDW Offload

We enable customers to retire or reduce dependence on legacy data warehouse solutions by migrating the data to an enterprise data hub built on Hadoop, and create relevant reports or visualizations based on the business need. Benefits include lower cost to maintain data environment, and greater flexibility gathering intelligence from the underlying data.

Core IOT (Internet Of Things) Platform Framework

We establish a foundation for IoT analytics by integrating several data sources – retrospective data often found in legacy databases, operational data, and most importantly, real-time streaming data from IoT devices themselves. We also create a metadata architecture to facilitate application development as well as data governance. From this foundation, we can help customers innovate a variety of new products, services, or business processes to increase revenue and lower cost.

Smart Fleet Management

We provide analytics solution to maintain driver safety, reduce unwanted delay in shipment, track route/trip status and vehicle status at a real time basis and predict & react maintenance problems based on data readings from fleet sensors. Our solution identifies the latest location of all trucks in fleet and displays them geographically on the map.

Preventive Maintenance For Hydraulic Valves

We create programs that will enable manufacturers to offer predictive maintenance service to customers. We also provide Parametric Survival Analysis, Time Series Forecasting, Scrap Classification Analysis and Ambient Correlation Analysis.

Product Level Demand Forecasting

We offer product-level forecast with the ability to react faster, less obsolete inventory at the end of the period (year, quarter, month) and lower stock outs and improved customer satisfaction.

Estimating Customer Lifetime Value

Solution involves a two-step modeling process. First, we identify the probability that the customer makes the purchase. For purchasing customers we identify the high, medium, or low buckets in which they belong. This results in improved customer target segments, increased customer retention, and better customer experience.

Finding Optimal Price Points

We help define and identify the predictive model to estimate the effects of seasonality, holiday, promotion, inventory status, product price and competitive price on sales quantity.

Market Share Shift Analysis

We calculate lost sales, provide package optimization, lead time analysis, out of stock calculation, demand estimation and market basket analysis.

Real Time Automated Personalization Engine

We build location based real time scoring and recommendation engines for relevant and personalized experience across all interaction points.

Shelf Analytics

We provide real time deep learning based image analytics solution for SKU level object detection to enable various store shelf operations and analytics KPI for store and brands.

Integrated/ Consolidated Data Hub

Intelligence, artificial or otherwise, starts with data. The foundation of most Kogentix solutions is an integrated data hub, bringing together data of disparate types – structured and unstructured, current and retrospective, real-time and batch. To meet enterprise requirements, the data must be secure, persistent, and well governed. The Kogentix team has been deploying open source big data platforms since 2009, providing a solid foundation for the analytics and applications that create business value.

EDW Offload

We enable customers to retire or reduce dependence on legacy data warehouse solutions by migrating the data to an enterprise data hub built on Hadoop, and create relevant reports or visualizations based on the business need. Benefits include lower cost to maintain data environment, and greater flexibility gathering intelligence from the underlying data.

Core IOT (Internet Of Things) Platform Framework

We establish a foundation for IoT analytics by integrating several data sources – retrospective data often found in legacy databases, operational data, and most importantly, real-time streaming data from IoT devices themselves. We also create a metadata architecture to facilitate application development as well as data governance. From this foundation, we can help customers innovate a variety of new products, services, or business processes to increase revenue and lower cost.

Estimating Customer Lifetime Value

Solution involves a two-step modeling process. First, we identify the probability that the customer makes the purchase. For purchasing customers we identify the high, medium, or low buckets in which they belong. This results in improved customer target segments, increased customer retention, and better customer experience.

Finding Optimal Price Points

We help define and identify the predictive model to estimate the effects of seasonality, holiday, promotion, inventory status, product price and competitive price on sales quantity.

Market Share Shift Analysis

We calculate lost sales, provide package optimization, lead time analysis, out of stock calculation, demand estimation and market basket analysis.

Real Time Automated Personalization Engine

We build location based real time scoring and recommendation engines for relevant and personalized experience across all interaction points.

Integrated/ Consolidated Data Hub

Intelligence, artificial or otherwise, starts with data. The foundation of most Kogentix solutions is an integrated data hub, bringing together data of disparate types – structured and unstructured, current and retrospective, real-time and batch. To meet enterprise requirements, the data must be secure, persistent, and well governed. The Kogentix team has been deploying open source big data platforms since 2009, providing a solid foundation for the analytics and applications that create business value.

EDW Offload

We enable customers to retire or reduce dependence on legacy data warehouse solutions by migrating the data to an enterprise data hub built on Hadoop, and create relevant reports or visualizations based on the business need. Benefits include lower cost to maintain data environment, and greater flexibility gathering intelligence from the underlying data.

Core IOT (Internet Of Things) Platform Framework

We establish a foundation for IoT analytics by integrating several data sources – retrospective data often found in legacy databases, operational data, and most importantly, real-time streaming data from IoT devices themselves. We also create a metadata architecture to facilitate application development as well as data governance. From this foundation, we can help customers innovate a variety of new products, services, or business processes to increase revenue and lower cost.

Smart Fleet Management

We provide analytics solution to maintain driver safety, reduce unwanted delay in shipment, track route/trip status and vehicle status at a real time basis and predict & react maintenance problems based on data readings from fleet sensors. Our solution identifies the latest location of all trucks in fleet and displays them geographically on the map.

Preventive Maintenance For Hydraulic Valves

We create programs that will enable manufacturers to offer predictive maintenance service to customers. We also provide Parametric Survival Analysis, Time Series Forecasting, Scrap Classification Analysis and Ambient Correlation Analysis.

Product Level Demand Forecasting

We offer product-level forecast with the ability to react faster, less obsolete inventory at the end of the period (year, quarter, month) and lower stock outs and improved customer satisfaction.

Estimating Customer Lifetime Value

Solution involves a two-step modeling process. First, we identify the probability that the customer makes the purchase. For purchasing customers we identify the high, medium, or low buckets in which they belong. This results in improved customer target segments, increased customer retention, and better customer experience.

Finding Optimal Price Points

We help define and identify the predictive model to estimate the effects of seasonality, holiday, promotion, inventory status, product price and competitive price on sales quantity.

Market Share Shift Analysis

We calculate lost sales, provide package optimization, lead time analysis, out of stock calculation, demand estimation and market basket analysis.

Real Time Automated Personalization Engine

We build location based real time scoring and recommendation engines for relevant and personalized experience across all interaction points.

Integrated/ Consolidated Data Hub

Intelligence, artificial or otherwise, starts with data. The foundation of most Kogentix solutions is an integrated data hub, bringing together data of disparate types – structured and unstructured, current and retrospective, real-time and batch. To meet enterprise requirements, the data must be secure, persistent, and well governed. The Kogentix team has been deploying open source big data platforms since 2009, providing a solid foundation for the analytics and applications that create business value.

EDW Offload

We enable customers to retire or reduce dependence on legacy data warehouse solutions by migrating the data to an enterprise data hub built on Hadoop, and create relevant reports or visualizations based on the business need. Benefits include lower cost to maintain data environment, and greater flexibility gathering intelligence from the underlying data.

Core IOT (Internet Of Things) Platform Framework

We establish a foundation for IoT analytics by integrating several data sources – retrospective data often found in legacy databases, operational data, and most importantly, real-time streaming data from IoT devices themselves. We also create a metadata architecture to facilitate application development as well as data governance. From this foundation, we can help customers innovate a variety of new products, services, or business processes to increase revenue and lower cost.

Integrated/ Consolidated Data Hub

Intelligence, artificial or otherwise, starts with data. The foundation of most Kogentix solutions is an integrated data hub, bringing together data of disparate types – structured and unstructured, current and retrospective, real-time and batch. To meet enterprise requirements, the data must be secure, persistent, and well governed. The Kogentix team has been deploying open source big data platforms since 2009, providing a solid foundation for the analytics and applications that create business value.

EDW Offload

We enable customers to retire or reduce dependence on legacy data warehouse solutions by migrating the data to an enterprise data hub built on Hadoop, and create relevant reports or visualizations based on the business need. Benefits include lower cost to maintain data environment, and greater flexibility gathering intelligence from the underlying data.

Core IOT (Internet Of Things) Platform Framework

We establish a foundation for IoT analytics by integrating several data sources – retrospective data often found in legacy databases, operational data, and most importantly, real-time streaming data from IoT devices themselves. We also create a metadata architecture to facilitate application development as well as data governance. From this foundation, we can help customers innovate a variety of new products, services, or business processes to increase revenue and lower cost.

Smart Fleet Management

We provide analytics solution to maintain driver safety, reduce unwanted delay in shipment, track route/trip status and vehicle status at a real time basis and predict & react maintenance problems based on data readings from fleet sensors. Our solution identifies the latest location of all trucks in fleet and displays them geographically on the map.

Proactive Food Safety

We monitor transport of food from source to shelf, provide immediate alerts if environmental conditions create food safety risk and accelerate root cause and corrective action. Additionally we collect, integrate and correlate supply chain telematics and other structured and unstructured data from seeding to sales, to get insights and improve traceability , transparency, quality, stability, contamination.

Product Level Demand Forecasting

We offer product-level forecast with the ability to react faster, less obsolete inventory at the end of the period (year, quarter, month) and lower stock outs and improved customer satisfaction.

Estimating Customer Lifetime Value

Solution involves a two-step modeling process. First, we identify the probability that the customer makes the purchase. For purchasing customers we identify the high, medium, or low buckets in which they belong. This results in improved customer target segments, increased customer retention, and better customer experience.

Finding Optimal Price Points

We help define and identify the predictive model to estimate the effects of seasonality, holiday, promotion, inventory status, product price and competitive price on sales quantity.

Market Share Shift Analysis

We calculate lost sales, provide package optimization, lead time analysis, out of stock calculation, demand estimation and market basket analysis.

Customer Behavior Modeling and Prediction

We have an intelligent entity behavior modelling to find patterns in customer behavior and predict their most likely actions. The marketing team leverages the solution to target their campaigns for optimal Return On Investment.

Market Basket Analysis

We understand consumer behavior and generate correlation, insights on consumer behavior and try extrapolations to broader markets, stores, categories and attempt to influence change in consumer behavior favorable to products and offerings for various retail partners.

Right Assortment- Right Time- Right Location

We provide a machine learning system based to measure and optimize assortment across location, brand, size, color, silhouette, style etc and assist business, analyses store level assortment performance using various KPIs to improve the overall assortment performance, misallocation and reduce the non-selling inventory carrying cost.

Real Time Automated Personalization Engine

We build location based real time scoring and recommendation engines for relevant and personalized experience across all interaction points.

Shelf Analytics

We provide real time deep learning based image analytics solution for SKU level object detection to enable various store shelf operations and analytics KPI for store and brands.

Integrated/ Consolidated Data Hub

Intelligence, artificial or otherwise, starts with data. The foundation of most Kogentix solutions is an integrated data hub, bringing together data of disparate types – structured and unstructured, current and retrospective, real-time and batch. To meet enterprise requirements, the data must be secure, persistent, and well governed. The Kogentix team has been deploying open source big data platforms since 2009, providing a solid foundation for the analytics and applications that create business value.

EDW Offload

We enable customers to retire or reduce dependence on legacy data warehouse solutions by migrating the data to an enterprise data hub built on Hadoop, and create relevant reports or visualizations based on the business need. Benefits include lower cost to maintain data environment, and greater flexibility gathering intelligence from the underlying data.

Core IOT (Internet Of Things) Platform Framework

We establish a foundation for IoT analytics by integrating several data sources – retrospective data often found in legacy databases, operational data, and most importantly, real-time streaming data from IoT devices themselves. We also create a metadata architecture to facilitate application development as well as data governance. From this foundation, we can help customers innovate a variety of new products, services, or business processes to increase revenue and lower cost.

Integrated/ Consolidated Data Hub

Intelligence, artificial or otherwise, starts with data. The foundation of most Kogentix solutions is an integrated data hub, bringing together data of disparate types – structured and unstructured, current and retrospective, real-time and batch. To meet enterprise requirements, the data must be secure, persistent, and well governed. The Kogentix team has been deploying open source big data platforms since 2009, providing a solid foundation for the analytics and applications that create business value.

EDW Offload

We enable customers to retire or reduce dependence on legacy data warehouse solutions by migrating the data to an enterprise data hub built on Hadoop, and create relevant reports or visualizations based on the business need. Benefits include lower cost to maintain data environment, and greater flexibility gathering intelligence from the underlying data.

Core IOT (Internet Of Things) Platform Framework

We establish a foundation for IoT analytics by integrating several data sources – retrospective data often found in legacy databases, operational data, and most importantly, real-time streaming data from IoT devices themselves. We also create a metadata architecture to facilitate application development as well as data governance. From this foundation, we can help customers innovate a variety of new products, services, or business processes to increase revenue and lower cost.

Smart Fleet Management

We provide analytics solution to maintain driver safety, reduce unwanted delay in shipment, track route/trip status and vehicle status at a real time basis and predict & react maintenance problems based on data readings from fleet sensors. Our solution identifies the latest location of all trucks in fleet and displays them geographically on the map.

Proactive Food Safety

We monitor transport of food from source to shelf, provide immediate alerts if environmental conditions create food safety risk and accelerate root cause and corrective action. Additionally we collect, integrate and correlate supply chain telematics and other structured and unstructured data from seeding to sales, to get insights and improve traceability , transparency, quality, stability, contamination.

Product Level Demand Forecasting

We offer product-level forecast with the ability to react faster, less obsolete inventory at the end of the period (year, quarter, month) and lower stock outs and improved customer satisfaction.

Estimating Customer Lifetime Value

Solution involves a two-step modeling process. First, we identify the probability that the customer makes the purchase. For purchasing customers we identify the high, medium, or low buckets in which they belong. This results in improved customer target segments, increased customer retention, and better customer experience.

Finding Optimal Price Points

We help define and identify the predictive model to estimate the effects of seasonality, holiday, promotion, inventory status, product price and competitive price on sales quantity.

Market Share Shift Analysis

We calculate lost sales, provide package optimization, lead time analysis, out of stock calculation, demand estimation and market basket analysis.

Customer Behavior Modeling and Prediction

We have an intelligent entity behavior modelling to find patterns in customer behavior and predict their most likely actions. The marketing team leverages the solution to target their campaigns for optimal Return On Investment.

Market Basket Analysis

We understand consumer behavior and generate correlation, insights on consumer behavior and try extrapolations to broader markets, stores, categories and attempt to influence change in consumer behavior favorable to products and offerings for various retail partners.

Right Assortment- Right Time- Right Location

We provide a machine learning system based to measure and optimize assortment across location, brand, size, color, silhouette, style etc and assist business, analyses store level assortment performance using various KPIs to improve the overall assortment performance, misallocation and reduce the non-selling inventory carrying cost.

Real Time Automated Personalization Engine

We build location based real time scoring and recommendation engines for relevant and personalized experience across all interaction points.

Shelf Analytics

We provide real time deep learning based image analytics solution for SKU level object detection to enable various store shelf operations and analytics KPI for store and brands.

Integrated/ Consolidated Data Hub

Intelligence, artificial or otherwise, starts with data. The foundation of most Kogentix solutions is an integrated data hub, bringing together data of disparate types – structured and unstructured, current and retrospective, real-time and batch. To meet enterprise requirements, the data must be secure, persistent, and well governed. The Kogentix team has been deploying open source big data platforms since 2009, providing a solid foundation for the analytics and applications that create business value.

EDW Offload

We enable customers to retire or reduce dependence on legacy data warehouse solutions by migrating the data to an enterprise data hub built on Hadoop, and create relevant reports or visualizations based on the business need. Benefits include lower cost to maintain data environment, and greater flexibility gathering intelligence from the underlying data.

Core IOT (Internet Of Things) Platform Framework

We establish a foundation for IoT analytics by integrating several data sources – retrospective data often found in legacy databases, operational data, and most importantly, real-time streaming data from IoT devices themselves. We also create a metadata architecture to facilitate application development as well as data governance. From this foundation, we can help customers innovate a variety of new products, services, or business processes to increase revenue and lower cost.

Market Share Shift Analysis

We calculate lost sales, provide package optimization, lead time analysis, out of stock calculation, demand estimation and market basket analysis.

Customer Behavior Modeling and Prediction

We have an intelligent entity behavior modelling to find patterns in customer behavior and predict their most likely actions. The marketing team leverages the solution to target their campaigns for optimal Return On Investment.

Real Time Automated Personalization Engine

We build location based real time scoring and recommendation engines for relevant and personalized experience across all interaction points.

Integrated/ Consolidated Data Hub

Intelligence, artificial or otherwise, starts with data. The foundation of most Kogentix solutions is an integrated data hub, bringing together data of disparate types – structured and unstructured, current and retrospective, real-time and batch. To meet enterprise requirements, the data must be secure, persistent, and well governed. The Kogentix team has been deploying open source big data platforms since 2009, providing a solid foundation for the analytics and applications that create business value.

EDW Offload

We enable customers to retire or reduce dependence on legacy data warehouse solutions by migrating the data to an enterprise data hub built on Hadoop, and create relevant reports or visualizations based on the business need. Benefits include lower cost to maintain data environment, and greater flexibility gathering intelligence from the underlying data.

Core IOT (Internet Of Things) Platform Framework

We establish a foundation for IoT analytics by integrating several data sources – retrospective data often found in legacy databases, operational data, and most importantly, real-time streaming data from IoT devices themselves. We also create a metadata architecture to facilitate application development as well as data governance. From this foundation, we can help customers innovate a variety of new products, services, or business processes to increase revenue and lower cost.

Real Time Automated Personalization Engine

We build location based real time scoring and recommendation engines for relevant and personalized experience across all interaction points.

Integrated/ Consolidated Data Hub

Intelligence, artificial or otherwise, starts with data. The foundation of most Kogentix solutions is an integrated data hub, bringing together data of disparate types – structured and unstructured, current and retrospective, real-time and batch. To meet enterprise requirements, the data must be secure, persistent, and well governed. The Kogentix team has been deploying open source big data platforms since 2009, providing a solid foundation for the analytics and applications that create business value.

EDW Offload

We enable customers to retire or reduce dependence on legacy data warehouse solutions by migrating the data to an enterprise data hub built on Hadoop, and create relevant reports or visualizations based on the business need. Benefits include lower cost to maintain data environment, and greater flexibility gathering intelligence from the underlying data.

Estimating Customer Lifetime Value

Solution involves a two-step modeling process. First, we identify the probability that the customer makes the purchase. For purchasing customers we identify the high, medium, or low buckets in which they belong. This results in improved customer target segments, increased customer retention, and better customer experience.

Finding Optimal Price Points

We help define and identify the predictive model to estimate the effects of seasonality, holiday, promotion, inventory status, product price and competitive price on sales quantity.

Market Share Shift Analysis

We calculate lost sales, provide package optimization, lead time analysis, out of stock calculation, demand estimation and market basket analysis.